The engine built for the agentic era

Agents demand concurrency, freshness, and cost control at once. Run retrieval and analytics for AI directly on your open tables, at 10x performance for half the cost.

AI AGENTSE6DATA ENGINEp95 < 2sAGENT+1 vCPU AS CONCURRENCY CLIMBSANSBUILT FOR THE CONCURRENCY AGENTS DEMAND

Built for how agents actually query

1,000+
QPS at p95 < 2s
~15s
streaming queryable
up to 50%
lower compute cost

Concurrency without the bill

Agentic workloads fan out into thousands of small, concurrent queries. Legacy engines meet that with over-provisioned clusters and a bill that scales with the peak.

e6data scales in 1-vCPU increments, so you pay for the compute a query needs and nothing around it. Full-grain data, no down-sampling, no coordinator single point of failure.

HOW IT ANSWERS

How e6data answers agentic load

01

Built for concurrency

Serve the query volume agents generate, not just the dashboards humans click.

02

Scales by the vCPU

Add capacity as concurrency climbs, and shrink it back when it falls.

03

On your open tables

Agents query the data you already govern, with no copy and no lock-in.

OUTCOMES

The outcomes for AI teams

p95 < 2s
under agent load

Latency holds flat as agent traffic climbs, so answers stay fast enough to act on.

1,000+
QPS sustained

The engine serves the concurrency a fleet of agents generates.

1 vCPU
scaling increment

You pay only for the concurrency actually in use, moment to moment.

Point it at your agent workloads

Book a demo and we will scope it against the workloads that dominate your bill.

Book a demo